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Record W2965887370

Characterization of metamorphic assemblages and assessment of Cu-Pb-Ag-Au-Zn mobility at the Lalor deposit, Snow Lake, Manitoba

2019· dissertation· en· W2965887370 on OpenAlexaboutno aff
Judy Lam

Bibliographic record

VenueLu Zone Ul (Laurentian University) · 2019
Typedissertation
Languageen
FieldEnvironmental Science
TopicMinerals Flotation and Separation Techniques
Canadian institutionsnot available
Fundersnot available
KeywordsMetamorphic rockSnowGeologyGeochemistryGeomorphology
DOInot available

Abstract

fetched live from OpenAlex

The Lalor VMS deposit is located within the Snow Lake arc assemblage at the easternmost end
\nof the Paleoproterozoic Flin Flon belt. A regional metamorphic event at 1.81 Ga, up to middle
\namphibolite facies (550˚C, 5kbar), recrystallized the mineral assemblages in the massive sulfide
\nand hydrothermally altered rocks that are associated with the formation of VMS deposits in the
\narea. The Lalor deposit differs from most VMS deposits in the area in that it contains low-sulfide
\nAu rich zones that are proximal to but separate from the massive sulfide lenses.
\nGold mineralization primarily occurs in three rock types at the Lalor deposit: massive
\nsulfides, and calc-silicates to carbonate silicates, and Fe-Mg altered rocks. Electrum is the
\ndominant form of gold, but gold also occurs in sulfosalt phases such as aurostibite (AuSb2) and
\nin tellurides such as petzite (Ag3AuTe2). It is often associated with hessite (Ag2Te), altaite
\n(PbTe), chalcopyrite (CuFeS2), and galena (PbS). Gold mineralization occurs along fractures,
\ngrain boundaries, cleavage planes, and as discrete inclusions in metamorphic minerals.
\nThere are two dominant metal associations with gold: Cu-Au and Pb-Au. The Cu-Au
\nassociation is more common and occurs in a variety of rock types (including massive sulfides
\nand Fe-Mg altered rocks), whereas the Pb-Au association is restricted to calc-silicate to
\ncarbonate silicate altered rocks.
\nIn the massive sulfides, gold content and distribution are a function of primary VMS
\nzone refining processes; however, Au has been locally remobilized during metamorphism and
\ndeformation. In the Fe-Mg altered rocks proximal to massive sulfide, the distribution and tenor
\nof Au reflects primary zone refining and local remobilization due to metamorphism and
\ndeformation, whereas in Fe-Mg altered rocks distal to massive sulfide, gold distribution is 
\nlargely a product of pre-peak to peak metamorphic remobilization of primary VMS gold via
\nfluid-dominated transportation.
\nIn the calc-silicate to carbonate silicate rocks, which contained or contain carbonate, Au
\ndistribution reflects metamorphic remobilization. Metamorphic devolatilization of primary
\ncarbonate bearing rocks is responsible for adding components such as H2O, CO2 and S2 into a
\nfluid phase that remobilized Au and some metals (e.g. Cu, Pb) in the deposit, and in altered rocks
\nlocated proximal and distal to the massive sulfide lenses. Gold was mobilized and transported as
\na sulfur complex, with CO2 acting as a buffer for a low salinity fluid phase such that it could
\nmaintain an elevated gold content for transport and deposition. The result of this mobilization is
\nresponsible for the Pb-Au in calc-silicate to carbonate silicate altered rocks

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.658
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.011
GPT teacher head0.230
Teacher spread0.219 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designBench or experimental
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2019
Admission routes1
Has abstractyes

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